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Tutorials overview | Vertex AI

Tutorials overview

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Each of the tutorials presented here walks you through a specific artificial intelligence (AI) workflow, created to represent the most common tasks and to illustrate the capabilities of Vertex AI. Choose the tutorial that best matches your data type and AI task. After following the tutorial, you can use the patterns that you have learned to solve your own AI problem. Vertex AI offers Google Cloud console tutorials and notebook tutorials that use the Python SDK. You can open a notebook tutorial directly in Colab, download the notebook to your preferred environment, or open the notebook tutorial in Vertex AI Workbench.

Train a classification model for tabular data Train a regression model for tabular data Train a time-series forecasting model for tabular data Train a classification model for image data How to open a notebook in Vertex AI Workbench

To open a notebook tutorial in a Vertex AI Workbench instance:

  1. Click the Vertex AI Workbench link in the notebook list. The link opens the Vertex AI Workbench console.
  2. In the Deploy to notebook screen, type a name for your new Vertex AI Workbench instance and click Create.
  3. In the Ready to open notebook dialog that appears after the instance starts, click Open.
  4. On the Confirm deployment to notebook server page, select Confirm.
  5. Before running the notebook, select Kernel > Restart Kernel and Clear all Outputs.
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Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.

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